Technical Architect

Technical Architect

Position Overview

We are seeking a Technical Architect (TA) with deep expertise in Data, Analytics, and Artificial Intelligence (AI) to join the IT Enterprise Architecture organization. This role is accountable for proactively leading data‑, analytics‑, and AI‑driven technology transformation initiatives and enabling measurable business outcomes across the enterprise.

The Technical Architect will play a critical role in transforming local, legacy, data‑driven processes, and systems into centralized, scalable, and group‑wide platforms, while ensuring alignment with enterprise architecture standards and business strategy.

Technical Architects provide technical leadership across analysis, design, facilitation, and execution, supporting the evolution of enterprise Data, Analytics, and AI capabilities and the associated application portfolios and technology stacks. The role owns the creation of key architectural deliverables such as target‑state architectures, transformation roadmaps, standards, and guidelines to enable successful project delivery and long‑term strategic outcomes.

This position is based in Canada and ensures that Data, Analytics, and AI architecture vision, principles, and standards are consistently executed through a common enterprise framework, with a strong emphasis on cloud‑based data platforms, AI enablement, and data governance.

The ideal candidate will help advance organizational directives around simplification, modernization, and innovation by providing architectural leadership in enterprise data platforms, integration components, and AI‑enabled data strategies .

Your Role:

• Assist in the development of a  multi‑year Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with Data & Analytics Enterprise Architects.
• Drive  standardization of Data, Analytics, and AI technology standards, principles, and guidelines across multiple business entities.
• Define and maintain  technical standards for enterprise data management, analytics platforms, and AI enablement capabilities.
• Design and guide  data‑centric and AI‑enabled initiatives , supporting the transition from traditional data architectures to  next‑generation cloud, analytics, and AI platforms .
• Act as an  evangelist and ambassador for enterprise architecture standards including Data Governance. Data Intake and Ingestion. Data Modeling, Data Integration, Analytics and AI lifecycle management
• Collaborate closely with  Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives and implementations.
• Identify technology‑related business pain points by mapping  business capabilities to current platforms , leveraging EA practices and participating in  innovation activities , including AI adoption.
• Enable IT development and infrastructure teams to make  informed technology decisions through frameworks, reference architectures, standards, and reusable patterns.
• Identify  technical risks, architectural gaps, and vulnerabilities that could impact project delivery or lead to post‑release defects.
• Reduce cost and complexity through  standardization, reuse, and rationalization of data, analytics, and AI platforms.
• Partner with EA and TA peers (enterprise, solution, and business architects) to derive the  future‑state technology architecture , aligned to business strategy and external trends.
• Define  migration and transformation plans to close gaps between current and target states, in alignment with Business Solutions and Business Technology Architects.
• Support governance, assurance, and compliance activities to ensure alignment with  enterprise architecture standards and policies .
• Assess and articulate the  organizational, skills, process, and financial impact of changes to the application portfolio, data platforms, and AI stack.

• Define and govern  enterprise AI architecture standards , including model lifecycle management, MLOps, and AI platform integration.
• Ensure responsible and compliant AI adoption, aligned with  AI governance, model risk management, data privacy, and security controls .
• Guide the integration of  AI/ML capabilities into analytics platforms , including predictive, prescriptive, and generative AI use cases.
• Collaborate with Data Science, Engineering, Security, and Risk teams to enable  scalable, secure, and explainable AI solutions .
• Establish architectural patterns for  AI model deployment, monitoring, versioning, and retraining in cloud environments.
• Evaluate emerging AI technologies, tools, and platforms and provide  strategic recommendations for enterprise adoption.

Your Profile:  

• 4+ years of experience in Enterprise Architecture or Technical Architecture.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Mathematics, or Business (or equivalent).
• Strong experience with cloud platforms and services, including:
• Azure (e.g.; Azure AI Studio, Azure Data Services and tools)
• AWS  (e.g.; Amazon Bedrock, Sagemaker, Data Services and tools)
• Databricks
• Hands‑on experience with enterprise data concepts, including:
• Data Intake and Ingestion
• Data Warehousing
• Data Lakes / Lakehouse architectures
• ETL / ELT
• Interactive and operational reporting
• Statistical and regulatory reporting
• Master Data Management (MDM)
• Data Governance, Quality, Security, Audit, Balance & Control
• Solid understanding of enterprise architecture practices, including:
• Architectural patterns
• Roadmaps
• Architecture Review Boards
• Solution Design Boards
• Experience defining data management and AI roadmaps, cloud‑based services, and reusable architectural patterns.
• Experience integrating operational data with enterprise data lakes.
• Strong understanding of data integration challenges and solution patterns.
• Experience with statistical and data science languages such as Python and R (strong asset).
• Exposure to AI/ML concepts, including model development, deployment, monitoring, and MLOps (required).
• Familiarity with Generative AI concepts, AI platforms, and enterprise adoption considerations (strong asset).
• Strong business acumen with deep understanding of:
• Financial systems
• Corporate and back‑office systems
• Enterprise data management, analytics, and AI technology landscape
• Strong problem‑solving skills, unquestioned integrity, and high collaboration capability.
• Passion for innovation, continuous improvement, modernization, and change management.
• Excellent written and verbal communication skills, with the ability to communicate effectively at all levels.
• High sense of ownership, accountability, and pride in delivered outcomes.

About Munich Re

Together, we engage with everything we have and are, to help humankind act braver and better.

As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance.  By turning uncertainty into manageable risk, we enable fundamental change.  We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions.  We dare to think big and are continuously innovating on behalf of our clients.

Our data, our technology, and our teams place us in a unique position to drive transformative change in the life insurance industry.  We invest strategically in our world class talent, offering our employees a work experience that promotes professional development, innovation, and rewards high performance.

What Can We Offer You?

We are pleased to offer our employees great benefits and resources to support their mental, physical and financial wellbeing. These include:

• An engaging and collaborative environment that promotes continuous learning and development
• A hybrid work environment that combines weekly in-office and remote days
• A great compensation package including annual company bonus
• Market leading company-paid flexible health and dental benefits, starting on your first day
• Flexible dollars provided by the company to put towards Health Spending Account and/or Wellness Spending Account
• Immediate participation in DC Pension Plan with an automatic employer contribution, plus optional company match
• Generous time off including vacation, personal days, unplanned time, Statutory Holidays and company-wide early closure half-days
• Learning and development programs and resources, including unlimited access to LinkedIn Learning, Education Assistance Program and reimbursement for professional fees
• Maternity, Parental & Adoption Leave top-up program
• Employee Referral Program, Recognition & Rewards Platform

Our base salary range for this role is between $133,000 – 172,000 per year , plus an opportunity for an annual company bonus based upon a percentage of eligible pay. The salary estimate displayed represents the typical salary range for candidates hired in this position. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to internal equity.

This role is located in our Toronto office on 390 Bay St , and we operate in a hybrid work model. This job posting is for an existing vacancy. 

We do not use AI in our recruitment process - applications are reviewed by our team to ensure a fair and personalized experience.

Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest.

Munich Re is committed to providing a work environment that is inclusive and free of employment barriers and discrimination. Accommodations will be made for qualified applicants with a disability throughout the recruitment process. If you receive a request for an interview and you have a disability which will require an accommodation to support your participation, please contact View email address on careers.munichre.com as soon as practical so that suitable accommodations can be arranged.